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Gemini 3.8 Flash

Gemini 3.8 Flash (high reasoning) by Google. High intelligence index (59), output throughput of 302 TPS, and native 1M context window with 90% prompt caching discount.

#183发布于 2026年9月1日·Proprietary·Not disclosed
textimageaudiovideo1M ctx推理
智商指数
68.5 #183
前 24% 梯队
输出速度
302 t/s
TTFT 180 ms · ITL 3.3 ms/tok
混合价格 (3:1)
$1.5 /1M
输入 $0.75/M · 输出 $3.75/M
上下文
1M
≈ 2,500 页 A4 · 最大输出 65,536

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Gemini 3.8 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (54)Mathematics (73.5)Hard Science (GPQA) (56)Agentic & Tool Use (72.5)Knowledge (MMLU) (58)Vision / Multimodal (62)

缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。

优势与取舍

优势所在

  • 1M context — swallows whole repos, codebases or corpora in one pass
  • Up to 65,536 output tokens per response
  • 302 tok/s output — fast enough for real-time agents
  • Sub-200ms time-to-first-token

需要注意的权衡

  • Architecture and weights undisclosed — API access only

杀手级用例

SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
Real-time agents
Low-latency loops for voice, gaming and interactive copilots.

开发者快速上手与 API

请先设置 GEMINI_API_KEY — 获取 API 密钥
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-8-flash:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "Refactor this function for O(n) time and explain the change."}]}]
  }'

官方资源与链接

API 部署

对比托管商与延迟

Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
查看提供商矩阵 →

各榜单得分

实时规格与架构

底层解析
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.075/1M tokens.
  • Native multimodality: text, image, audio, video in a single model.
发布日期
2026年9月1日
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
1,000,000 tokens
最大输出
65,536 tokens
模态
text + image + audio + video
缓存价格
读 $0.075 · 写 $0.9375 /1M
推理
思考力度档位
输入价格
$0.75/M
输出价格
$3.75/M
输出速度
302 t/s
首Token延迟
180 ms
数据更新
2026年9月2日

每月账单预估

每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…

引用与嵌入

GitHub Markdown 徽章
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BibTeX
@misc{llmpodium2026gemini38flash,
  title = {Benchmark Analysis and Intelligence Evaluation of Gemini 3.8 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/gemini-3-8-flash}
}

嵌入评分徽章

将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。

预览
Gemini 3.8 Flash LLMPodium Score
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更多 Google 模型

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